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首页> 外文期刊>Procedia Computer Science >An Improved Vehicle Parking Mechanism to reduce Parking Space Searching Time using Firefly Algorithm and Feed Forward Back Propagation Method
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An Improved Vehicle Parking Mechanism to reduce Parking Space Searching Time using Firefly Algorithm and Feed Forward Back Propagation Method

机译：一种改进的车辆停车机制，以减少萤火虫算法的停车位搜索时间和馈送前后传播方法

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摘要

An issue of finding parking space is a serious concern in some locations, especially shopping complexes, hospitals, buildings, malls and other premises requires large parking space for vehicles. The parking scenario becomes worst on special occasions like festivals, fiesta and weekends. The conventional developed techniques using installation of sensors in parking zone for parking vehicles becomes costly. Therefore, a reliable method is required that works for long time to manage traffic congestion that occurs while searching for parking space. In this paper, a novel method is proposed for parking vehicles using metaheuristic approaches. The developed approach provides consistent results considering two parameters, parking efficiency and parking space search time. The parking efficiency is improved and parking space search time is reduced using the Firefly Algorithm (FA) and Feed Forward Back Propagation Neural Network (NN) approach.
机译：寻找停车位的问题是某些地方的严重关注，特别是购物综合体，医院，建筑物，商场和其他房屋需要大型停车位。停车场景在节日，嘉年华和周末等特殊场合变得最差。使用在停车区停车区安装传感器的传统开发技术变得昂贵。因此，需要一种可靠的方法，该方法很长一段时间来管理搜索停车位时发生的流量拥塞。本文提出了一种新的方法，用于使用血管培育方法停车车辆。开发方法提供了一致的结果，考虑到两个参数，停车效率和停车位搜索时间。使用Firefly算法（FA）和馈送前后传播神经网络（NN）方法，降低停车效率并降低停车位搜索时间。

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